Search ga_ls7e_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. to (exclusive):

Time when dataset was created (processed) From

Time when dataset was created (processed) to (exclusive)

The raw CRS string as it appears in metadata:

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm to (exclusive):

File format (GeoTiff, NetCDF):

GQA Circular error probable (90%) from:

GQA Circular error probable (90%) to (exclusive):

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Dataset UUID:

User who indexed the dataset:

When dataset was indexed:

Label:

A Landsat Collection 1 Level-1 product identifier including the Collection processing levels, processing date, collection number, and collection tier category (e.g. ‘LE07_L1TP_098084_20210307_20210308_02_RT’) :

A Landsat scene ID including WRS path and row, year and day, ground station identifier and archive version number (e.g. ‘LC80900852021066LGN00’) :

Latitude range from:

Latitude range to (exclusive):

Longitude range from:

Longitude range to (exclusive):

Full metadata document:

Metadata type name of dataset:

ID of a metadata type:

Spatial reference code from the provider. For Landsat region_code is a scene path row: '{:03d}{:03d}.format(path,row)' For Sentinel it is MGRS code. In general it is a unique string identifier that datasets covering roughly the same spatial region share. :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

56 results

Time (local)	Label
1999-12-20 09:39:20	ga_ls7e_ard_3-0-0_095072_1999-12-20_final
2000-04-11 10:20:48	ga_ls7e_ard_3-0-0_102069_2000-04-11_final
2001-04-02 09:53:27	ga_ls7e_ard_3-0-0_098068_2001-04-02_final
2001-06-23 09:41:13	ga_ls7e_ard_3-0-0_096070_2001-06-23_final
2001-12-16 11:18:08	ga_ls7e_ard_3-0-0_112067_2001-12-16_final
2003-02-19 09:53:13	ga_ls7e_ard_3-0-0_098071_2003-02-19_final
2003-07-21 09:09:37	ga_ls7e_ard_3-0-0_090086_2003-07-20_final
2003-12-21 09:04:57	ga_ls7e_ard_3-1-0_089089_2003-12-20_final
2004-03-28 10:23:56	ga_ls7e_ard_3-0-0_103069_2004-03-28_final
2004-05-03 10:03:05	ga_ls7e_ard_3-0-0_099079_2004-05-03_final
2004-06-04 09:58:15	ga_ls7e_ard_3-0-0_099067_2004-06-04_final
2004-10-25 10:57:07	ga_ls7e_ard_3-0-0_108076_2004-10-25_final
2004-11-11 09:58:52	ga_ls7e_ard_3-0-0_099069_2004-11-11_final
2005-03-03 10:00:01	ga_ls7e_ard_3-0-0_099070_2005-03-03_final
2005-04-26 11:03:41	ga_ls7e_ard_3-0-0_109075_2005-04-26_final
2005-05-21 10:57:09	ga_ls7e_ard_3-0-0_108074_2005-05-21_final
2005-09-05 10:38:34	ga_ls7e_ard_3-0-0_105075_2005-09-05_final
2005-10-03 11:02:47	ga_ls7e_ard_3-0-0_109074_2005-10-03_final
2005-10-29 10:02:50	ga_ls7e_ard_3-0-0_099078_2005-10-29_final
2006-03-08 09:47:40	ga_ls7e_ard_3-0-0_097069_2006-03-08_final
2006-12-19 10:04:06	ga_ls7e_ard_3-0-0_099079_2006-12-19_final
2007-04-14 09:34:55	ga_ls7e_ard_3-0-0_095067_2007-04-14_final
2007-05-12 10:04:18	ga_ls7e_ard_3-0-0_099079_2007-05-12_final
2007-08-10 10:39:52	ga_ls7e_ard_3-0-0_105076_2007-08-10_final
2008-01-01 10:40:09	ga_ls7e_ard_3-0-0_105076_2008-01-01_final
2008-12-06 10:16:05	ga_ls7e_ard_3-0-0_101080_2008-12-06_final
2009-02-19 10:00:05	ga_ls7e_ard_3-0-0_098085_2009-02-19_final
2009-05-11 10:42:37	ga_ls7e_ard_3-0-0_105082_2009-05-11_final
2009-06-30 10:29:49	ga_ls7e_ard_3-0-0_103081_2009-06-30_final
2009-07-04 10:03:53	ga_ls7e_ard_3-0-0_099078_2009-07-04_final
2010-01-28 10:00:49	ga_ls7e_ard_3-0-0_099067_2010-01-28_final
2010-10-30 10:38:32	ga_ls7e_ard_3-0-0_104082_2010-10-30_final
2011-09-22 10:43:04	ga_ls7e_ard_3-0-0_105076_2011-09-22_final
2011-12-10 10:03:54	ga_ls7e_ard_3-0-0_098085_2011-12-10_final
2012-02-26 10:13:26	ga_ls7e_ard_3-0-0_100077_2012-02-26_final
2012-07-09 09:37:43	ga_ls7e_ard_3-0-0_094079_2012-07-09_final
2013-04-19 10:05:41	ga_ls7e_ard_3-0-0_098084_2013-04-19_final
2014-05-10 09:47:51	ga_ls7e_ard_3-0-0_096067_2014-05-10_final
2014-06-05 10:25:52	ga_ls7e_ard_3-0-0_102069_2014-06-05_final
2014-08-19 10:11:33	ga_ls7e_ard_3-0-0_099079_2014-08-19_final
2015-04-26 09:12:59	ga_ls7e_ard_3-0-0_089083_2015-04-25_final
2016-02-24 09:14:47	ga_ls7e_ard_3-1-0_089081_2016-02-23_final
2016-05-31 11:31:58	ga_ls7e_ard_3-0-0_112067_2016-05-31_final
2017-01-06 10:20:21	ga_ls7e_ard_3-0-0_100074_2017-01-06_final
2018-02-05 10:00:23	ga_ls7e_ard_3-0-0_097072_2018-02-05_final
2018-04-04 10:35:10	ga_ls7e_ard_3-0-0_103068_2018-04-04_final
2018-05-30 09:44:24	ga_ls7e_ard_3-0-0_095067_2018-05-30_final
2019-01-16 11:28:37	ga_ls7e_ard_3-0-0_112078_2019-01-16_final
2019-07-23 10:07:28	ga_ls7e_ard_3-0-0_100077_2019-07-23_final
2019-09-09 10:05:27	ga_ls7e_ard_3-1-0_100077_2019-09-09_final
2020-02-18 09:48:12	ga_ls7e_ard_3-1-0_098084_2020-02-18_final
2020-12-16 09:36:33	ga_ls7e_ard_3-1-0_100071_2020-12-16_final
2021-04-10 08:25:04	ga_ls7e_ard_3-2-0_089084_2021-04-09_final
2021-05-26 08:34:44	ga_ls7e_ard_3-2-0_091087_2021-05-25_final
2021-09-04 08:41:28	ga_ls7e_ard_3-2-0_094079_2021-09-03_final
2021-10-10 09:48:27	ga_ls7e_ard_3-2-0_106069_2021-10-10_final

Return to ga_ls7e_ard_3 whole collection overview

ga_ls7e_ard_3: Geoscience Australia Landsat 7 Enhanced Thematic Mapper Plus Analysis Ready Data Collection 3

Baseline satellite data

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years